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7. Genome-wide association study of red blood cell traits in Hispanics/Latinos: The Hispanic Community Health Study/Study of Latinos.

Author

Hodonsky, Chani J, Jain, Deepti, Schick, Ursula M, Morrison, Jean V, Brown, Lisa, McHugh, Caitlin P, Schurmann, Claudia, Chen, Diane D, Liu, Yong Mei, Auer, Paul L, Laurie, Cecilia A, Taylor, Kent D, Browning, Brian L, Li, Yun, Papanicolaou, George, Rotter, Jerome I, Kurita, Ryo, Nakamura, Yukio, Browning, Sharon R, Loos, Ruth JF, North, Kari E, Laurie, Cathy C, Thornton, Timothy A, Pankratz, Nathan, Bauer, Daniel E, Sofer, Tamar, and Reiner, Alex P

Subjects
Erythrocytes, Humans, Proteasome Endopeptidase Complex, Hemoglobins, Homeodomain Proteins, Tumor Suppressor Proteins, Erythrocyte Count, Polymorphism, Single Nucleotide, Hispanic Americans, Female, Male, Genome-Wide Association Study, alpha-Globins, beta-Globins, RNA, Long Noncoding, Solute Carrier Family 12, Member 2, Polymorphism, Single Nucleotide, RNA, Long Noncoding, Solute Carrier Family 12, Member 2, Genetics, Developmental Biology
Abstract

Prior GWAS have identified loci associated with red blood cell (RBC) traits in populations of European, African, and Asian ancestry. These studies have not included individuals with an Amerindian ancestral background, such as Hispanics/Latinos, nor evaluated the full spectrum of genomic variation beyond single nucleotide variants. Using a custom genotyping array enriched for Amerindian ancestral content and 1000 Genomes imputation, we performed GWAS in 12,502 participants of Hispanic Community Health Study and Study of Latinos (HCHS/SOL) for hematocrit, hemoglobin, RBC count, RBC distribution width (RDW), and RBC indices. Approximately 60% of previously reported RBC trait loci generalized to HCHS/SOL Hispanics/Latinos, including African ancestral alpha- and beta-globin gene variants. In addition to the known 3.8kb alpha-globin copy number variant, we identified an Amerindian ancestral association in an alpha-globin regulatory region on chromosome 16p13.3 for mean corpuscular volume and mean corpuscular hemoglobin. We also discovered and replicated three genome-wide significant variants in previously unreported loci for RDW (SLC12A2 rs17764730, PSMB5 rs941718), and hematocrit (PROX1 rs3754140). Among the proxy variants at the SLC12A2 locus we identified rs3812049, located in a bi-directional promoter between SLC12A2 (which encodes a red cell membrane ion-transport protein) and an upstream anti-sense long-noncoding RNA, LINC01184, as the likely causal variant. We further demonstrate that disruption of the regulatory element harboring rs3812049 affects transcription of SLC12A2 and LINC01184 in human erythroid progenitor cells. Together, these results reinforce the importance of genetic study of diverse ancestral populations, in particular Hispanics/Latinos.

Published
2017

13. A Genome-Wide Association Meta-Analysis of Circulating Sex Hormone–Binding Globulin Reveals Multiple Loci Implicated in Sex Steroid Hormone Regulation

Author

Coviello, Andrea D, Haring, Robin, Wellons, Melissa, Vaidya, Dhananjay, Lehtimäki, Terho, Keildson, Sarah, Lunetta, Kathryn L, He, Chunyan, Fornage, Myriam, Lagou, Vasiliki, Mangino, Massimo, Onland-Moret, N Charlotte, Chen, Brian, Eriksson, Joel, Garcia, Melissa, Liu, Yong Mei, Koster, Annemarie, Lohman, Kurt, Lyytikäinen, Leo-Pekka, Petersen, Ann-Kristin, Prescott, Jennifer, Stolk, Lisette, Vandenput, Liesbeth, Wood, Andrew R, Zhuang, Wei Vivian, Ruokonen, Aimo, Hartikainen, Anna-Liisa, Pouta, Anneli, Bandinelli, Stefania, Biffar, Reiner, Brabant, Georg, Cox, David G, Chen, Yuhui, Cummings, Steven, Ferrucci, Luigi, Gunter, Marc J, Hankinson, Susan E, Martikainen, Hannu, Hofman, Albert, Homuth, Georg, Illig, Thomas, Jansson, John-Olov, Johnson, Andrew D, Karasik, David, Karlsson, Magnus, Kettunen, Johannes, Kiel, Douglas P, Kraft, Peter, Liu, Jingmin, Ljunggren, Östen, Lorentzon, Mattias, Maggio, Marcello, Markus, Marcello RP, Mellström, Dan, Miljkovic, Iva, Mirel, Daniel, Nelson, Sarah, Papunen, Laure Morin, Peeters, Petra HM, Prokopenko, Inga, Raffel, Leslie, Reincke, Martin, Reiner, Alex P, Rexrode, Kathryn, Rivadeneira, Fernando, Schwartz, Stephen M, Siscovick, David, Soranzo, Nicole, Stöckl, Doris, Tworoger, Shelley, Uitterlinden, André G, van Gils, Carla H, Vasan, Ramachandran S, Wichmann, H-Erich, Zhai, Guangju, Bhasin, Shalender, Bidlingmaier, Martin, Chanock, Stephen J, De Vivo, Immaculata, Harris, Tamara B, Hunter, David J, Kähönen, Mika, Liu, Simin, Ouyang, Pamela, Spector, Tim D, van der Schouw, Yvonne T, Viikari, Jorma, Wallaschofski, Henri, McCarthy, Mark I, Frayling, Timothy M, Murray, Anna, Franks, Steve, Järvelin, Marjo-Riitta, de Jong, Frank H, Raitakari, Olli, Teumer, Alexander, Ohlsson, Claes, Murabito, Joanne M, and Perry, John RB

Subjects
Biological Sciences, Genetics, Breast Cancer, Aging, Estrogen, Cancer Genomics, Urologic Diseases, Cancer, Prostate Cancer, Human Genome, Women's Health, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Alleles, Female, Genetic Heterogeneity, Genome-Wide Association Study, Gonadal Steroid Hormones, Humans, Male, Metabolic Networks and Pathways, Polymorphism, Single Nucleotide, Sex Characteristics, Sex Hormone-Binding Globulin, Developmental Biology
Abstract

Sex hormone-binding globulin (SHBG) is a glycoprotein responsible for the transport and biologic availability of sex steroid hormones, primarily testosterone and estradiol. SHBG has been associated with chronic diseases including type 2 diabetes (T2D) and with hormone-sensitive cancers such as breast and prostate cancer. We performed a genome-wide association study (GWAS) meta-analysis of 21,791 individuals from 10 epidemiologic studies and validated these findings in 7,046 individuals in an additional six studies. We identified twelve genomic regions (SNPs) associated with circulating SHBG concentrations. Loci near the identified SNPs included SHBG (rs12150660, 17p13.1, p = 1.8 × 10(-106)), PRMT6 (rs17496332, 1p13.3, p = 1.4 × 10(-11)), GCKR (rs780093, 2p23.3, p = 2.2 × 10(-16)), ZBTB10 (rs440837, 8q21.13, p = 3.4 × 10(-09)), JMJD1C (rs7910927, 10q21.3, p = 6.1 × 10(-35)), SLCO1B1 (rs4149056, 12p12.1, p = 1.9 × 10(-08)), NR2F2 (rs8023580, 15q26.2, p = 8.3 × 10(-12)), ZNF652 (rs2411984, 17q21.32, p = 3.5 × 10(-14)), TDGF3 (rs1573036, Xq22.3, p = 4.1 × 10(-14)), LHCGR (rs10454142, 2p16.3, p = 1.3 × 10(-07)), BAIAP2L1 (rs3779195, 7q21.3, p = 2.7 × 10(-08)), and UGT2B15 (rs293428, 4q13.2, p = 5.5 × 10(-06)). These genes encompass multiple biologic pathways, including hepatic function, lipid metabolism, carbohydrate metabolism and T2D, androgen and estrogen receptor function, epigenetic effects, and the biology of sex steroid hormone-responsive cancers including breast and prostate cancer. We found evidence of sex-differentiated genetic influences on SHBG. In a sex-specific GWAS, the loci 4q13.2-UGT2B15 was significant in men only (men p = 2.5 × 10(-08), women p = 0.66, heterogeneity p = 0.003). Additionally, three loci showed strong sex-differentiated effects: 17p13.1-SHBG and Xq22.3-TDGF3 were stronger in men, whereas 8q21.12-ZBTB10 was stronger in women. Conditional analyses identified additional signals at the SHBG gene that together almost double the proportion of variance explained at the locus. Using an independent study of 1,129 individuals, all SNPs identified in the overall or sex-differentiated or conditional analyses explained ~15.6% and ~8.4% of the genetic variation of SHBG concentrations in men and women, respectively. The evidence for sex-differentiated effects and allelic heterogeneity highlight the importance of considering these features when estimating complex trait variance.

Published
2012

17. Nitrogen-Neighbored Single-Cobalt Sites Enable Heterogeneous Oxidase-Type Catalysis

Author

Zhang, Qi, primary, Peng, Mi, additional, Gao, Zirui, additional, Guo, Wendi, additional, Sun, Zehui, additional, Zhao, Yi, additional, Zhou, Wu, additional, Wang, Meng, additional, Mei, Bingbao, additional, Du, Xian-Long, additional, Jiang, Zheng, additional, Sun, Wei, additional, Liu, Chao, additional, Zhu, Yifeng, additional, Liu, Yong-Mei, additional, He, He-Yong, additional, Li, Zhen Hua, additional, Ma, Ding, additional, and Cao, Yong, additional

Published
2023
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21. Serum magnesium and calcium levels in relation to ischemic stroke: Mendelian randomization study

Author

Larsson, Susanna C., Traylor, Matthew, Burgess, Stephen, Boncoraglio, Giorgio B., Jern, Christina, Michaëlsson, Karl, Markus, Hugh S., Malik, Rainer, Chauhan, Ganesh, Traylor, Matthew, Sargurupremraj, Muralidharan, Okada, Yukinori, Mishra, Aniket, Rutten-Jacobs, Loes, Giese, Anne-Katrin, van der Laan, Sander W, Gretarsdottir, Solveig, Anderson, Christopher D, Chong, Michael, Adams, Hieab HH, Ago, Tetsuro, Almgren, Peter, Amouyel, Philippe, Ay, Hakan, Bartz, raci M, Benavente, Oscar R, Bevan, Steve, Boncoraglio, Giorgio B, Brown, Robert D, Jr., Butterworth, Adam S, Carrera, Caty, Carty, Cara L, Chasman, Daniel I, Chen, Wei-Min, Cole, John W, Correa, Adolfo, Cotlarciuc, Ioana, Cruchaga, Carlos, Danesh, John, de Bakker, Paul IW, DeStefano, Anita L, Hoed, Marcel den, Duan, Qing, Engelter, Stefan T, Falcone, Guido J, Gottesman, Rebecca F, Grewal, Raji P, Gudnason, Vilmundur, Gustafsson, Stefan, Haessler, Jeffrey, Harris, Tamara B, Hassan, Ahamad, Havulinna, Aki S, Heckbert, Susan R, Holliday, Elizabeth G, Howard, George, Hsu, Fang-Chi, Hyacinth, Hyacinth I, Ikram, M Arfan, Ingelsson, Erik, Irvin, Marguerite R, Jian, Xueqiu, Jiménez-Conde, Jordi, Johnson, Julie A, Jukema, J Wouter, Kanai, Masahiro, Keene, Keith L, Kissela, Brett M, Kleindorfer, Dawn O, Kooperberg, Charles, Kubo, Michiaki, Lange, Leslie A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lee, Jin-Moo, Lemmens, Robin, Leys, Didier, Lewis, Cathryn M, Lin, Wei-Yu, Lindgren, Arne G, Lorentzen, Erik, Magnusson, Patrik K, Maguire, Jane, Manichaikul, Ani, McArdle, Patrick F, Meschia, James F, Mitchell, Braxton D, Mosley, Thomas H, Nalls, Michael A, Ninomiya, Toshiharu, OʼDonnell, Martin J, Psaty, Bruce M, Pulit, Sara L, Rannikmäe, Kristiina, Reiner, Alexander P, Rexrode, Kathryn M, Rice, Kenneth, Rich, Stephen S, Ridker, Paul M, Rost, Natalia S, Rothwell, Peter M, Rotter, Jerome I, Rundek, Tatjana, Sacco, Ralph L, Sakaue, Saori, Sale, Michele M, Salomaa, Veikko, Sapkota, Bishwa R, Schmidt, Reinhold, Schmidt, Carsten O, Schminke, Ulf, Sharma, Pankaj, Slowik, Agnieszka, Sudlow, Cathie LM, Tanislav, Christian, Tatlisumak, Turgut, Taylor, Kent D, Thijs, Vincent NS, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tiedt, Steffen, Trompet, Stella, Tzourio, Christophe, van Duijn, Cornelia M, Walters, Matthew, Wareham, Nicholas J, Wassertheil-Smoller, Sylvia, Wilson, James G, Wiggins, Kerri L, Yang, Qiong, Yusuf, Salim, Amin, Najaf, Aparicio, Hugo S, Arnett, Donna K, Attia, John, Beiser, Alexa S, Berr, Claudine, Buring, Julie E, Bustamante, Mariana, Caso, Valeria, Cheng, Yu-Ching, Choi, Seung Hoan, Chowhan, Ayesha, Cullell, Natalia, Dartigues, Jean-François, Delavaran, Hossein, Delgado, Pilar, Dörr, Marcus, Engström, Gunnar, Ford, Ian, Gurpreet, Wander S, Hamsten, Anders, Heitsch, Laura, Hozawa, Atsushi, Ibanez, Laura, Ilinca, Andreea, Ingelsson, Martin, Iwasaki, Motoki, Jackson, Rebecca D, Jood, Katarina, Jousilahti, Pekka, Kaffashian, Sara, Kalra, Lalit, Kamouchi, Masahiro, Kitazono, Takanari, Kjartansson, Olafur, Kloss, Manja, Koudstaal, Peter J, Krupinski, Jerzy, Labovitz, Daniel L, Laurie, Cathy C, Levi, Christopher R, Li, Linxin, Lind, Lars, Lindgren, Cecilia M, Lioutas, Vasileios, Liu, Yong Mei, Lopez, Oscar L, Makoto, Hirata, Martinez-Majander, Nicolas, Matsuda, Koichi, Minegishi, Naoko, Montaner, Joan, Morris, Andrew P, Muiño, Elena, Müller-Nurasyid, Martina, Norrving, Bo, Ogishima, Soichi, Parati, Eugenio A, Peddareddygari, Leema Reddy, Pedersen, Nancy L, Pera, Joanna, Perola, Markus, Pezzini, Alessandro, Pileggi, Silvana, Rabionet, Raquel, Riba-Llena, Iolanda, Ribasés, Marta, Romero, Jose R, Roquer, Jaume, Rudd, Anthony G, Sarin, Antti-Pekka, Sarju, Ralhan, Sarnowski, Chloe, Sasaki, Makoto, Satizabal, Claudia L, Satoh, Mamoru, Sattar, Naveed, Sawada, Norie, Sibolt, Gerli, Sigurdsson, Ásgeir, Smith, Albert, Sobue, Kenji, Soriano-Tárraga, Carolina, Stanne, Tara, Stine, O Colin, Stott, David J, Strauch, Konstantin, Takai, Takako, Tanaka, Hideo, Tanno, Kozo, Teumer, Alexander, Tomppo, Liisa, Torres-Aguila, Nuria P, Touze, Emmanuel, Tsugane, Shoichiro, Uitterlinden, Andre G, Valdimarsson, Einar M, van der Lee, Sven J, Völzke, Henry, Wakai, Kenji, Weir, David, Williams, Stephen R, Wolfe, Charles DA, Wong, Quenna, Xu, Huichun, Yamaji, Taiki, Sanghera, Dharambir K, Melander, Olle, Jern, Christina, Strbian, Daniel, Fernandez-Cadenas, Israel, Longstreth, W T, Jr, Rolfs, Arndt, Hata, Jun, Woo, Daniel, Rosand, Jonathan, Pare, Guillaume, Hopewell, Jemma C, Saleheen, Danish, Stefansson, Kari, Worrall, Bradford B, Kittner, Steven J, Seshadri, Sudha, Fornage, Myriam, Markus, Hugh S, Howson, Joanna MM, Kamatani, Yoichiro, Debette, Stephanie, and Dichgans, Martin

Published
2019
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22. Formal verification of Green's theorem and its applications.

Author

LIU Yong-mei, WANG Guo-hui, GUAN Yong, ZHANG Jing-zhi, SHI Zhi-ping, and DONG Lu

Abstract

Green's theorem is widely used in physics, hydrodynamics, chemistry and other fields. Traditional computer simulation and numerical calculation methods are usually used to build the system model based on Green's theorem. However, the possible system defects in the tool software lead to the deviation of the model, which makes the task fail. In order to solve the above problems, this paper adopts the formalization method based on higher-order logic to realize the higher-order logic modeling and verification of Green's theorem related content in the theorem prover HOL Light. Firstly, the basic concepts and properties of gradient and divergence are formally described. Secondly, formal modeling and verification of Green's theorem and its properties are carried out. Finally, the high-level logical derivation of groundwater control model is completed based on the formal model of Green's theorem, so as to ensure the safety of the system model. [ABSTRACT FROM AUTHOR]

Published
2023
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35. Cinnabar-containing Chinese medicine Hua-Feng-Dan differs from mercury sulfide and mercury chloride in affecting gut microbiota in mice

Author

Liu, Yong-Mei, Xu, Shang-Fu, Zhang, Feng, Shi, Jing-Shan, Cheng, Ming-Liang, Liu, Jie, Liu, Yong-Mei, and Cheng, Ming-Liang

Subjects
History, Polymers and Plastics, Cinnabar-containing Hua-Feng-Dan, HgS, HgCl2, intestine histology, Hg accumulation, gut microbiome, 16S DNA sequencing, Business and International Management, Industrial and Manufacturing Engineering
Abstract

Background: Cinnabar (HgS) is included in ~6.7% recipes of Chinese medicines, including Hua-Feng-Dan. We have shown the protective effects of Hua-Feng-Dan against LPS plus rotenone or MPTP induced neurodegeneration with modulatory effects on gut microbiota. This study further used DNA sequencing to examine the effects of Hua-Feng-Dan on gut microbiome in comparison to HgS and HgCl2 for safety evaluation. Methods: Mice were given orally with Hua-Feng-Dan at clinical doses (0.6 and 1.5 g/kg), approximate Hg as HgS (30 mg/kg), or HgCl2 (33.6 mg/kg) for 7 days. Intestinal histology and accumulation of Hg in the duodenum were examined. Bacterial DNA from the large intestine content was extracted and subjected to DNA sequencing and qPCR verification with 16S rRNA probes. Results: Hua-Feng-Dan and HgS did not affect animal body weight, intestinal histology and produce overt intestinal Hg accumulation (1-2 fold). In contrast, HgCl2 retarted body weight gain, produced spotted mild inflammation, and produced 20-fold Hg accumulation in the intestine. Operational taxonomic unit (OTU) from DNA sequencing showed that at phyla levels, HgS increased Firmicutes and decreased Bacteroidetes, while HgCl2 produced opposite effects; At the family levels, Hua-Feng-Dan increased Streptococcaceae and Dehalobacteriaceae, HgS had similar effects; At the genus levels, Hua-Feng-Dan and HgS increased Streptococcaceae__garvieae and Paraprevotellaceae__Prevotella; HgS increased Verrucomicrobiaceae__Akkermansia, while HgCl2 increased Dehalobacteriaceae__Dehalobacterium and Odoribacteraceae__Odoribacter. HgS produced more alterations in gut microbiome. Conclusions: Hua-Feng-Dan had minimal effects on animal health, gut histology and Hg accumulation but produced alterations of gut microbiome. Effects of Hua-Feng-Dan on gut microbiome are different from HgS and HgCl2.

Published
2020
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46. Analysis of the Efficacy and Mechanism of Action of Xuebijing Injection on ARDS Using Meta-Analysis and Network Pharmacology

Author

Zhang, Yun, Wang, Jie, Liu, Yong-Mei, Yang, Hui, Wu, Guang-Jun, and He, Xuan-Hui

Subjects
Article Subject
Abstract

Objective. Acute respiratory distress syndrome (ARDS) is defined as the acute onset of noncardiogenic edema and subsequent gas-exchange impairment due to a severe inflammatory process known as cytokine storm. Xuebijing injection (hereinafter referred to as Xuebijing) is a patent drug that was used to treat ARDS or severe pneumonia (SP) in China. However, its efficacy and mechanism of actions remain unclear. In this study, we used meta-analysis and network pharmacology to assess these traits of Xuebijing. Methods. We searched PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure (CNKI), and Wanfang databases for randomized controlled trials (RCTs) that evaluated Xuebijing therapy for ARDS or SP. The outcomes were total mortality, intensive care unit (ICU) stay time, and TNF-α and IL-6 levels. We performed a meta-analysis using RevMan 5.3 software. The putative targets, top 10 proteins, and possible pathway of Xuebinjing on ARDS were analyzed by network pharmacology. TNF-α and IL-6 were further docked with the six main active components of Xuebinjing using AutoDock 4.2.6 and PyMol 1.5.0.3 software. Results. Fifteen RCTs involving 2778 patients (13 ARDS and 2 SP) were included. Compared with the control, Xuebijing treatment significantly reduced the mortality rate (risk ratio, 0.64 (95% credible interval (CrI), 0.54–0.77)), reduced the ICU stay time (mean difference (MD), -4.51 (95% CrI, -4.97–-4.06)), reduced the TNF-α ((MD), -1.23 (95% CrI, -1.38–-1.08)) and IL-6 ((MD), -1.15 (95% CrI, -1.52–-0.78)) levels. The 56 putative targets, top 10 proteins (MAPK1 (mitogen-activated protein kinase 1), MAPK8 (mitogen-activated protein kinase 8), RELA (transcription factor p65), NFKB1 (nuclear factor NF-kappa-B p105 subunit), JUN (transcription factor AP-1), SRC (proto-oncogene tyrosine-protein kinase), TNF (tumor necrosis factor), HRAS (GTPase HRas), IL6 (interleukin-6), and APP (amyloid-beta A4 protein)), and possible pathways (Ret tyrosine kinase, IL2-mediated signaling events, CD4+/CD8+ T cell-related TCR signaling, p75(NTR)-mediated signaling, CXCR4-mediated signaling events, LPA receptor-mediated events, IL12-mediated signaling events, FAS (CD95) signaling pathway, and immune system) of Xuebinjing’s action on ARDS were obtained. The molecular docking results showed that all the six components of Xuebinjing docked with TNF-α, and two components docked with IL-6 got the binding energies lower than -5. Conclusion. Our results recommended Xuebijing treatment for patients with ARDS. Xuebijing has therapeutic effects on ARDS patients partly by regulating the immune cell/cytokine pathways and thus inhibiting the cytokine storm. TNF-α is the cytokine both directly and indirectly inhibited by Xuebijing, and IL-6 is the cytokine mainly indirectly inhibited by Xuebijing.

Published
2021
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